Mehrdad Farajtabar

According to our database, Mehrdad Farajtabar authored at least 66 papers between 2011 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Guest Editorial Robust Learning of Spatio-Temporal Point Processes: Modeling, Algorithm, and Applications.

Junchi Yan, Hongteng Xu, Liangda Li, Mehrdad Farajtabar, Xiaokang Yang

IEEE Trans. Neural Networks Learn. Syst., April, 2023

LLM in a flash: Efficient Large Language Model Inference with Limited Memory.

Keivan Alizadeh, Iman Mirzadeh, Dmitry Belenko, Karen Khatamifard, Minsik Cho, Carlo C. Del Mundo, Mohammad Rastegari, Mehrdad Farajtabar

CoRR, 2023

Weight subcloning: direct initialization of transformers using larger pretrained ones.

Mohammad Samragh, Mehrdad Farajtabar, Sachin Mehta, Raviteja Vemulapalli, Fartash Faghri, Devang Naik, Oncel Tuzel, Mohammad Rastegari

CoRR, 2023

Label-efficient Training of Small Task-specific Models by Leveraging Vision Foundation Models.

Raviteja Vemulapalli, Hadi Pouransari, Fartash Faghri, Sachin Mehta, Mehrdad Farajtabar, Mohammad Rastegari, Oncel Tuzel

CoRR, 2023

TiC-CLIP: Continual Training of CLIP Models.

Saurabh Garg, Mehrdad Farajtabar, Hadi Pouransari, Raviteja Vemulapalli, Sachin Mehta, Oncel Tuzel, Vaishaal Shankar, Fartash Faghri

CoRR, 2023

SAM-CLIP: Merging Vision Foundation Models towards Semantic and Spatial Understanding.

Haoxiang Wang, Pavan Kumar Anasosalu Vasu, Fartash Faghri, Raviteja Vemulapalli, Mehrdad Farajtabar, Sachin Mehta, Mohammad Rastegari, Oncel Tuzel, Hadi Pouransari

CoRR, 2023

CLIP meets Model Zoo Experts: Pseudo-Supervision for Visual Enhancement.

Mohammadreza Salehi, Mehrdad Farajtabar, Maxwell Horton, Fartash Faghri, Hadi Pouransari, Raviteja Vemulapalli, Oncel Tuzel, Ali Farhadi, Mohammad Rastegari, Sachin Mehta

CoRR, 2023

ReLU Strikes Back: Exploiting Activation Sparsity in Large Language Models.

Iman Mirzadeh, Keivan Alizadeh, Sachin Mehta, Carlo C. Del Mundo, Oncel Tuzel, Golnoosh Samei, Mohammad Rastegari, Mehrdad Farajtabar

CoRR, 2023

On the Efficacy of Multi-scale Data Samplers for Vision Applications.

Elvis Nunez, Thomas Merth, Anish Prabhu, Mehrdad Farajtabar, Mohammad Rastegari, Sachin Mehta, Maxwell Horton

CoRR, 2023

Reinforce Data, Multiply Impact: Improved Model Accuracy and Robustness with Dataset Reinforcement.

Fartash Faghri, Hadi Pouransari, Sachin Mehta, Mehrdad Farajtabar, Ali Farhadi, Mohammad Rastegari, Oncel Tuzel

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Continual Learning Beyond a Single Model.

Thang Doan, Seyed-Iman Mirzadeh, Mehrdad Farajtabar

Proceedings of the Conference on Lifelong Learning Agents, 2023

2022

An empirical study of implicit regularization in deep offline RL.

Çaglar Gülçehre, Srivatsan Srinivasan, Jakub Sygnowski, Georg Ostrovski, Mehrdad Farajtabar, Matthew Hoffman, Razvan Pascanu, Arnaud Doucet

Trans. Mach. Learn. Res., 2022

Efficient Continual Learning Ensembles in Neural Network Subspaces.

Thang Doan, Seyed-Iman Mirzadeh, Joelle Pineau, Mehrdad Farajtabar

CoRR, 2022

Architecture Matters in Continual Learning.

Seyed-Iman Mirzadeh, Arslan Chaudhry, Dong Yin, Timothy Nguyen, Razvan Pascanu, Dilan Görür, Mehrdad Farajtabar

CoRR, 2022

Wide Neural Networks Forget Less Catastrophically.

Seyed-Iman Mirzadeh, Arslan Chaudhry, Dong Yin, Huiyi Hu, Razvan Pascanu, Dilan Görür, Mehrdad Farajtabar

Proceedings of the International Conference on Machine Learning, 2022

2021

Wide Neural Networks Forget Less Catastrophically.

Seyed-Iman Mirzadeh, Arslan Chaudhry, Huiyi Hu, Razvan Pascanu, Dilan Görür, Mehrdad Farajtabar

CoRR, 2021

Task-agnostic Continual Learning with Hybrid Probabilistic Models.

Polina Kirichenko, Mehrdad Farajtabar, Dushyant Rao, Balaji Lakshminarayanan, Nir Levine, Ang Li, Huiyi Hu, Andrew Gordon Wilson, Razvan Pascanu

CoRR, 2021

Linear Mode Connectivity in Multitask and Continual Learning.

Seyed-Iman Mirzadeh, Mehrdad Farajtabar, Dilan Görür, Razvan Pascanu, Hassan Ghasemzadeh

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Recurrent Poisson Factorization for Temporal Recommendation.

Seyed Abbas Hosseini, Ali Khodadadi, Keivan Alizadeh, Ali Arabzadeh, Mehrdad Farajtabar, Hongyuan Zha, Hamid R. Rabiee

IEEE Trans. Knowl. Data Eng., 2020

Balance Regularized Neural Network Models for Causal Effect Estimation.

Mehrdad Farajtabar, Andrew Lee, Yuanjian Feng, Vishal Gupta, Peter Dolan, Harish Chandran, Martin Szummer

CoRR, 2020

The Effectiveness of Memory Replay in Large Scale Continual Learning.

Yogesh Balaji, Mehrdad Farajtabar, Dong Yin, Alex Mott, Ang Li

CoRR, 2020

SOLA: Continual Learning with Second-Order Loss Approximation.

Dong Yin, Mehrdad Farajtabar, Ang Li

CoRR, 2020

Learning to Incentivize Other Learning Agents.

Jiachen Yang, Ang Li, Mehrdad Farajtabar, Peter Sunehag, Edward Hughes, Hongyuan Zha

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Self-Distillation Amplifies Regularization in Hilbert Space.

Hossein Mobahi, Mehrdad Farajtabar, Peter L. Bartlett

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Understanding the Role of Training Regimes in Continual Learning.

Seyed-Iman Mirzadeh, Mehrdad Farajtabar, Razvan Pascanu, Hassan Ghasemzadeh

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

A Maximum-Entropy Approach to Off-Policy Evaluation in Average-Reward MDPs.

Nevena Lazic, Dong Yin, Mehrdad Farajtabar, Nir Levine, Dilan Görür, Chris Harris, Dale Schuurmans

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Dropout as an Implicit Gating Mechanism For Continual Learning.

Seyed-Iman Mirzadeh, Mehrdad Farajtabar, Hassan Ghasemzadeh

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Orthogonal Gradient Descent for Continual Learning.

Mehrdad Farajtabar, Navid Azizan, Alex Mott, Ang Li

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

Improved Knowledge Distillation via Teacher Assistant.

Seyed-Iman Mirzadeh, Mehrdad Farajtabar, Ang Li, Nir Levine, Akihiro Matsukawa, Hassan Ghasemzadeh

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Learning Time Series Associated Event Sequences With Recurrent Point Process Networks.

Shuai Xiao, Junchi Yan, Mehrdad Farajtabar, Le Song, Xiaokang Yang, Hongyuan Zha

IEEE Trans. Neural Networks Learn. Syst., 2019

Modeling behaviors and lifestyle with online and social data for predicting and analyzing sleep and exercise quality.

Mehrdad Farajtabar, Emre Kiciman, Girish Nathan, Ryen W. White

Int. J. Data Sci. Anal., 2019

Improved Knowledge Distillation via Teacher Assistant: Bridging the Gap Between Student and Teacher.

Seyed-Iman Mirzadeh, Mehrdad Farajtabar, Ang Li, Hassan Ghasemzadeh

CoRR, 2019

DyRep: Learning Representations over Dynamic Graphs.

Rakshit Trivedi, Mehrdad Farajtabar, Prasenjeet Biswal, Hongyuan Zha

Proceedings of the 7th International Conference on Learning Representations, 2019

Cross-View Policy Learning for Street Navigation.

Ang Li, Huiyi Hu, Piotr Mirowski, Mehrdad Farajtabar

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018

Point process modeling and optimization of social networks.

Mehrdad Farajtabar

PhD thesis, 2018

Representation Learning over Dynamic Graphs.

Rakshit Trivedi, Mehrdad Farajtabar, Prasenjeet Biswal, Hongyuan Zha

CoRR, 2018

COEVOLVE: A Joint Point Process Model for Information Diffusion and Network Co-evolution.

Mehrdad Farajtabar, Manuel Gomez-Rodriguez, Yichen Wang, Shuang Li, Hongyuan Zha, Le Song

Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018

Discrete Interventions in Hawkes Processes with Applications in Invasive Species Management.

Amrita Gupta, Mehrdad Farajtabar, Bistra Dilkina, Hongyuan Zha

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

More Robust Doubly Robust Off-policy Evaluation.

Mehrdad Farajtabar, Yinlam Chow, Mohammad Ghavamzadeh

Proceedings of the 35th International Conference on Machine Learning, 2018

Learning Conditional Generative Models for Temporal Point Processes.

Shuai Xiao, Hongteng Xu, Junchi Yan, Mehrdad Farajtabar, Xiaokang Yang, Le Song, Hongyuan Zha

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Detecting Changes in Dynamic Events Over Networks.

Shuang Li, Yao Xie, Mehrdad Farajtabar, Apurv Verma, Le Song

IEEE Trans. Signal Inf. Process. over Networks, 2017

COEVOLVE: A Joint Point Process Model for Information Diffusion and Network Evolution.

Mehrdad Farajtabar, Yichen Wang, Manuel Gomez-Rodriguez, Shuang Li, Hongyuan Zha, Le Song

J. Mach. Learn. Res., 2017

Hawkes Processes for Invasive Species Modeling and Management.

Amrita Gupta, Mehrdad Farajtabar, Bistra Dilkina, Hongyuan Zha

CoRR, 2017

Joint Modeling of Event Sequence and Time Series with Attentional Twin Recurrent Neural Networks.

Shuai Xiao, Junchi Yan, Mehrdad Farajtabar, Le Song, Xiaokang Yang, Hongyuan Zha

CoRR, 2017

Wasserstein Learning of Deep Generative Point Process Models.

Shuai Xiao, Mehrdad Farajtabar, Xiaojing Ye, Junchi Yan, Le Song, Hongyuan Zha

CoRR, 2017

Distilling Information Reliability and Source Trustworthiness from Digital Traces.

Behzad Tabibian, Isabel Valera, Mehrdad Farajtabar, Le Song, Bernhard Schölkopf, Manuel Gomez-Rodriguez

Proceedings of the 26th International Conference on World Wide Web, 2017

Wasserstein Learning of Deep Generative Point Process Models.

Shuai Xiao, Mehrdad Farajtabar, Xiaojing Ye, Junchi Yan, Xiaokang Yang, Le Song, Hongyuan Zha

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Fake News Mitigation via Point Process Based Intervention.

Mehrdad Farajtabar, Jiachen Yang, Xiaojing Ye, Huan Xu, Rakshit Trivedi, Elias B. Khalil, Shuang Li, Le Song, Hongyuan Zha

Proceedings of the 34th International Conference on Machine Learning, 2017

Correlated Cascades: Compete or Cooperate.

Ali Zarezade, Ali Khodadadi, Mehrdad Farajtabar, Hamid R. Rabiee, Hongyuan Zha

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Detecting weak changes in dynamic events over networks.

Shuang Li, Yao Xie, Mehrdad Farajtabar, Le Song

CoRR, 2016

Multistage Campaigning in Social Networks.

Mehrdad Farajtabar, Xiaojing Ye, Sahar Harati, Le Song, Hongyuan Zha

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Smart Broadcasting: Do You Want to be Seen?

Mohammad Reza Karimi, Erfan Tavakoli, Mehrdad Farajtabar, Le Song, Manuel Gomez-Rodriguez

Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Learning Granger Causality for Hawkes Processes.

Hongteng Xu, Mehrdad Farajtabar, Hongyuan Zha

Proceedings of the 33nd International Conference on Machine Learning, 2016

2015

On the network you keep: analyzing persons of interest using Cliqster.

Saber Shokat Fadaee, Mehrdad Farajtabar, Ravi Sundaram, Javed A. Aslam, Nikos I. Passas

Soc. Netw. Anal. Min., 2015

Correlated Cascades: Compete or Cooperate.

Ali Zarezade, Ali Khodadadi, Mehrdad Farajtabar, Hamid R. Rabiee, Le Song, Hongyuan Zha

CoRR, 2015

A Continuous-time Mutually-Exciting Point Process Framework for Prioritizing Events in Social Media.

Mehrdad Farajtabar, Safoora Yousefi, Long Q. Tran, Le Song, Hongyuan Zha

CoRR, 2015

Co-evolutionary Dynamics of Information Diffusion and Network Structure.

Mehrdad Farajtabar, Manuel Gomez-Rodriguez, Yichen Wang, Shuang Li, Hongyuan Zha, Le Song

Proceedings of the 24th International Conference on World Wide Web Companion, 2015

Learning Latent Variable Models by Improving Spectral Solutions with Exterior Point Method.

Amirreza Shaban, Mehrdad Farajtabar, Bo Xie, Le Song, Byron Boots

Proceedings of the Thirty-First Conference on Uncertainty in Artificial Intelligence, 2015

NetCodec: Community Detection from Individual Activities.

Long Q. Tran, Mehrdad Farajtabar, Le Song, Hongyuan Zha

Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

Dirichlet-Hawkes Processes with Applications to Clustering Continuous-Time Document Streams.

Nan Du, Mehrdad Farajtabar, Amr Ahmed, Alexander J. Smola, Le Song

Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Back to the Past: Source Identification in Diffusion Networks from Partially Observed Cascades.

Mehrdad Farajtabar, Manuel Gomez-Rodriguez, Mohammad Zamani, Nan Du, Hongyuan Zha, Le Song

Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015

2014

Shaping Social Activity by Incentivizing Users.

Mehrdad Farajtabar, Nan Du, Manuel Gomez-Rodriguez, Isabel Valera, Hongyuan Zha, Le Song

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

2013

From Local Similarity to Global Coding: An Application to Image Classification.

Amirreza Shaban, Hamid R. Rabiee, Mehrdad Farajtabar, Marjan Ghazvininejad

Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

Online Object Representation Learning and Its Application to Object Tracking.

Amirreza Shaban, Hamid R. Rabiee, Mehrdad Farajtabar, Mohsen Fadaee

Proceedings of the Lifelong Machine Learning, 2013

2011

Manifold Coarse Graining for Online Semi-supervised Learning.

Mehrdad Farajtabar, Amirreza Shaban, Hamid Reza Rabiee, Mohammad H. Rohban

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011

Efficient Iterative Semi-supervised Classification on Manifold.

Mehrdad Farajtabar, Hamid R. Rabiee, Amirreza Shaban, Ali Soltani-Farani

Proceedings of the Data Mining Workshops (ICDMW), 2011